What proxy provider should I use for large-scale scraping?

For large-scale scraping, the “best” proxy provider depends on your target sites, geography needs, budget, and how much anti-bot protection you’ll face. A few solid options:

Commonly used providers

• Bright Data — very large network, strong rotation controls, good for enterprise-scale use; usually expensive.
• Oxylabs — similar tier to Bright Data; strong coverage and reputation for reliability.
• SOAX — good controls and cleaner targeting; often chosen for web data collection.
• NetNut — useful for stable residential sourcing and certain high-volume use cases.
• Smartproxy / Decodo — often a good balance of price, ease of use, and scale.
• ScraperAPI / Zyte — not just proxies; more “scraping infrastructure” with proxying, retries, and some anti-bot handling.

How to choose

Look at:

• Proxy type needed: datacenter, residential, mobile, or ISP
• Geotargeting: country, city, ASN, carrier
• Rotation and session control
• Success rate / ban rate
• Bandwidth pricing vs. request pricing
• Concurrency limits
• Compliance and allowed use cases
• Support quality and SLA

Practical advice

• For hard targets with aggressive bot protection, residential or mobile proxies from a top-tier provider are usually more reliable.
• For high-volume, less protected sites, datacenter proxies are cheaper and faster.
• If you want to reduce engineering burden, consider a scraping API rather than raw proxies.

Important note

Make sure your scraping activities comply with the site’s terms, robots rules where applicable, privacy laws, and any authorization requirements.

If you want, I can recommend a provider based on:

1. your target country/region,
2. estimated requests per day,
3. whether you need residential/mobile/datacenter, and
4. your budget.